SportEval

Not affiliated with FIFA or any official football tournament. All predictions are AI-generated for research purposes.

[SportEval @SportEvalAI]

🔥 Four matches tomorrow — three divided predictions, one overwhelming consensus.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇨🇿 Czech Republic vs 🇿🇦 South Africa

Czechia to win. Five models go 1-0, DeepSeek and GLM see 2-0, while Gemini and MiMo expect a tighter 2-1.

🇨🇭 Switzerland vs 🇧🇦 Bosnia & Herzegovina

Most models lean Switzerland, but the exact score is all over the place. Four predict 1-0, three call a 1-1 draw, while DeepSeek and GLM go for 2-0 and 2-1 respectively.

🇨🇦 Canada vs 🇶🇦 Qatar

Canada are favored, but not comfortably. Five models predict a 1-0 win, two see a draw, GPT goes 2-0, and Gemini expects a 2-1 result.

🇲🇽 Mexico vs 🇰🇷 Korea Republic

The strongest consensus of the day. Eight of nine models predict a 1-1 draw. Only Gemini backs Mexico to win, 2-1.

Which AI gets it right? 👀

#SportEval #Football

[SportEval @SportEvalAI]

@selecaoportugal Of course Portugal
https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football

[SportEval @SportEvalAI]

@WorldCupMedia Of course Portugal

https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football

[SportEval @SportEvalAI]

@Andxion_ Most llms say 2:0

https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football

[SportEval @SportEvalAI]

@CRonaldoNews @BetUS_Official @Cristiano @selecaoportugal let's gooooo

https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football

[SportEval @SportEvalAI]

@Aiprotips1 Superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most — what’s your take? https://t.co/snrxKgA5Xw

[SportEval @SportEvalAI]

Day 6 Recap: When Superstars Break the Models 🤖⚽ #2026football

Four matches. Four winners correctly predicted by all 9 models.

🇦🇷 Argentina 3-0 Algeria
🇳🇴 Norway 4-1 Iraq
🇫🇷 France 3-1 Senegal
🇦🇹 Austria 3-1 Jordan

But why the scorelines were off.Across all four matches, the models nailed the fundamentals:

• Team strength
• Tactical matchups
• Defensive structures
• Tournament opener dynamics

But they struggled with the same thing:

Superstar explosions.

Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappé turned a projected 2-0 into 3-1.

LLMs are surprisingly good at predicting the average outcome.They’re much worse at predicting when a world-class player decides to go nuclear.

Which makes the Player Awards race even more interesting. 👀

On #SportEval, all 9 models have already locked in their predictions for:

🏆 Golden Ball
⚽ Golden Boot
🌟 Best Young Player
🧤 Golden Glove

We’ll keep tracking how those predictions evolve as the tournament unfolds.

Right now, the models are most divided on Mbappé vs. Yamal.Who do you think the AI models got wrong? 🤔

[SportEval @SportEvalAI]

@icekento1 Hello!!!

https://t.co/snrxKgA5Xw

[SportEval @SportEvalAI]

Day 6 Recap: When Superstars Break the Models 🤖⚽ #2026football

Four matches. Four winners correctly predicted by all 9 models.

🇦🇷 Argentina 3-0 Algeria
🇳🇴 Norway 4-1 Iraq
🇫🇷 France 3-1 Senegal
🇦🇹 Austria 3-1 Jordan

But why the scorelines were off.Across all four matches, the models nailed the fundamentals:

• Team strength
• Tactical matchups
• Defensive structures
• Tournament opener dynamics

But they struggled with the same thing:

Superstar explosions.

Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappé turned a projected 2-0 into 3-1.

LLMs are surprisingly good at predicting the average outcome.They’re much worse at predicting when a world-class player decides to go nuclear.

Which makes the Player Awards race even more interesting. 👀

On #SportEval, all 9 models have already locked in their predictions for:

🏆 Golden Ball
⚽ Golden Boot
🌟 Best Young Player
🧤 Golden Glove

We’ll keep tracking how those predictions evolve as the tournament unfolds.

Right now, the models are most divided on Mbappé vs. Yamal.Who do you think the AI models got wrong? 🤔

[SportEval @SportEvalAI]

@433 Superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most — what’s your take? https://t.co/snrxKgA5Xw

[SportEval @SportEvalAI]

Day 6 Recap: When Superstars Break the Models 🤖⚽ #2026football

Four matches. Four winners correctly predicted by all 9 models.

🇦🇷 Argentina 3-0 Algeria
🇳🇴 Norway 4-1 Iraq
🇫🇷 France 3-1 Senegal
🇦🇹 Austria 3-1 Jordan

But why the scorelines were off.Across all four matches, the models nailed the fundamentals:

• Team strength
• Tactical matchups
• Defensive structures
• Tournament opener dynamics

But they struggled with the same thing:

Superstar explosions.

Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappé turned a projected 2-0 into 3-1.

LLMs are surprisingly good at predicting the average outcome.They’re much worse at predicting when a world-class player decides to go nuclear.

Which makes the Player Awards race even more interesting. 👀

On #SportEval, all 9 models have already locked in their predictions for:

🏆 Golden Ball
⚽ Golden Boot
🌟 Best Young Player
🧤 Golden Glove

We’ll keep tracking how those predictions evolve as the tournament unfolds.

Right now, the models are most divided on Mbappé vs. Yamal.Who do you think the AI models got wrong? 🤔

[SportEval @SportEvalAI]

@fcbp8dri_ Superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most — what’s your take? https://t.co/snrxKgA5Xw

[SportEval @SportEvalAI]

Day 6 Recap: When Superstars Break the Models 🤖⚽ #2026football

Four matches. Four winners correctly predicted by all 9 models.

🇦🇷 Argentina 3-0 Algeria
🇳🇴 Norway 4-1 Iraq
🇫🇷 France 3-1 Senegal
🇦🇹 Austria 3-1 Jordan

But why the scorelines were off.Across all four matches, the models nailed the fundamentals:

• Team strength
• Tactical matchups
• Defensive structures
• Tournament opener dynamics

But they struggled with the same thing:

Superstar explosions.

Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappé turned a projected 2-0 into 3-1.

LLMs are surprisingly good at predicting the average outcome.They’re much worse at predicting when a world-class player decides to go nuclear.

Which makes the Player Awards race even more interesting. 👀

On #SportEval, all 9 models have already locked in their predictions for:

🏆 Golden Ball
⚽ Golden Boot
🌟 Best Young Player
🧤 Golden Glove

We’ll keep tracking how those predictions evolve as the tournament unfolds.

Right now, the models are most divided on Mbappé vs. Yamal.Who do you think the AI models got wrong? 🤔

[SportEval @SportEvalAI]

@WorldCupMedia Messi!!!Superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most — what’s your take? https://t.co/snrxKgA5Xw

[SportEval @SportEvalAI]

Day 6 Recap: When Superstars Break the Models 🤖⚽ #2026football

Four matches. Four winners correctly predicted by all 9 models.

🇦🇷 Argentina 3-0 Algeria
🇳🇴 Norway 4-1 Iraq
🇫🇷 France 3-1 Senegal
🇦🇹 Austria 3-1 Jordan

But why the scorelines were off.Across all four matches, the models nailed the fundamentals:

• Team strength
• Tactical matchups
• Defensive structures
• Tournament opener dynamics

But they struggled with the same thing:

Superstar explosions.

Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappé turned a projected 2-0 into 3-1.

LLMs are surprisingly good at predicting the average outcome.They’re much worse at predicting when a world-class player decides to go nuclear.

Which makes the Player Awards race even more interesting. 👀

On #SportEval, all 9 models have already locked in their predictions for:

🏆 Golden Ball
⚽ Golden Boot
🌟 Best Young Player
🧤 Golden Glove

We’ll keep tracking how those predictions evolve as the tournament unfolds.

Right now, the models are most divided on Mbappé vs. Yamal.Who do you think the AI models got wrong? 🤔

[SportEval @SportEvalAI]

@FabrizioRomano Haha, superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most — what’s your take? https://t.co/snrxKgA5Xw

[SportEval @SportEvalAI]

Day 6 Recap: When Superstars Break the Models 🤖⚽ #2026football

Four matches. Four winners correctly predicted by all 9 models.

🇦🇷 Argentina 3-0 Algeria
🇳🇴 Norway 4-1 Iraq
🇫🇷 France 3-1 Senegal
🇦🇹 Austria 3-1 Jordan

But why the scorelines were off.Across all four matches, the models nailed the fundamentals:

• Team strength
• Tactical matchups
• Defensive structures
• Tournament opener dynamics

But they struggled with the same thing:

Superstar explosions.

Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappé turned a projected 2-0 into 3-1.

LLMs are surprisingly good at predicting the average outcome.They’re much worse at predicting when a world-class player decides to go nuclear.

Which makes the Player Awards race even more interesting. 👀

On #SportEval, all 9 models have already locked in their predictions for:

🏆 Golden Ball
⚽ Golden Boot
🌟 Best Young Player
🧤 Golden Glove

We’ll keep tracking how those predictions evolve as the tournament unfolds.

Right now, the models are most divided on Mbappé vs. Yamal.Who do you think the AI models got wrong? 🤔

[SportEval @SportEvalAI]

@FIFAWorldCup Haha, superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most — what’s your take? https://t.co/snrxKgA5Xw

[SportEval @SportEvalAI]

Day 6 Recap: When Superstars Break the Models 🤖⚽ #2026football

Four matches. Four winners correctly predicted by all 9 models.

🇦🇷 Argentina 3-0 Algeria
🇳🇴 Norway 4-1 Iraq
🇫🇷 France 3-1 Senegal
🇦🇹 Austria 3-1 Jordan

But why the scorelines were off.Across all four matches, the models nailed the fundamentals:

• Team strength
• Tactical matchups
• Defensive structures
• Tournament opener dynamics

But they struggled with the same thing:

Superstar explosions.

Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappé turned a projected 2-0 into 3-1.

LLMs are surprisingly good at predicting the average outcome.They’re much worse at predicting when a world-class player decides to go nuclear.

Which makes the Player Awards race even more interesting. 👀

On #SportEval, all 9 models have already locked in their predictions for:

🏆 Golden Ball
⚽ Golden Boot
🌟 Best Young Player
🧤 Golden Glove

We’ll keep tracking how those predictions evolve as the tournament unfolds.

Right now, the models are most divided on Mbappé vs. Yamal.Who do you think the AI models got wrong? 🤔

[SportEval @SportEvalAI]

@FIFAWorldCup https://t.co/snrxKgA5Xw Haha, superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most — what’s your take?

[SportEval @SportEvalAI]

Day 6 Recap: When Superstars Break the Models 🤖⚽ #2026football

Four matches. Four winners correctly predicted by all 9 models.

🇦🇷 Argentina 3-0 Algeria
🇳🇴 Norway 4-1 Iraq
🇫🇷 France 3-1 Senegal
🇦🇹 Austria 3-1 Jordan

But why the scorelines were off.Across all four matches, the models nailed the fundamentals:

• Team strength
• Tactical matchups
• Defensive structures
• Tournament opener dynamics

But they struggled with the same thing:

Superstar explosions.

Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappé turned a projected 2-0 into 3-1.

LLMs are surprisingly good at predicting the average outcome.They’re much worse at predicting when a world-class player decides to go nuclear.

Which makes the Player Awards race even more interesting. 👀

On #SportEval, all 9 models have already locked in their predictions for:

🏆 Golden Ball
⚽ Golden Boot
🌟 Best Young Player
🧤 Golden Glove

We’ll keep tracking how those predictions evolve as the tournament unfolds.

Right now, the models are most divided on Mbappé vs. Yamal.Who do you think the AI models got wrong? 🤔

[SportEval @SportEvalAI]

Day 6 Recap: When Superstars Break the Models 🤖⚽ #2026football

Four matches. Four winners correctly predicted by all 9 models.

🇦🇷 Argentina 3-0 Algeria
🇳🇴 Norway 4-1 Iraq
🇫🇷 France 3-1 Senegal
🇦🇹 Austria 3-1 Jordan

But why the scorelines were off.Across all four matches, the models nailed the fundamentals:

• Team strength
• Tactical matchups
• Defensive structures
• Tournament opener dynamics

But they struggled with the same thing:

Superstar explosions.

Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappé turned a projected 2-0 into 3-1.

LLMs are surprisingly good at predicting the average outcome.They’re much worse at predicting when a world-class player decides to go nuclear.

Which makes the Player Awards race even more interesting. 👀

On #SportEval, all 9 models have already locked in their predictions for:

🏆 Golden Ball
⚽ Golden Boot
🌟 Best Young Player
🧤 Golden Glove

We’ll keep tracking how those predictions evolve as the tournament unfolds.

Right now, the models are most divided on Mbappé vs. Yamal.Who do you think the AI models got wrong? 🤔

[SportEval @SportEvalAI]

@Goboovi All the models are backing England, but their point predictions differ across models.

https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football

[SportEval @SportEvalAI]

@Whale_WatcherB Most LLMs say 2:0 https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football

[SportEval @SportEvalAI]

@MechaNews_ @ZectraNews All the models are backing England

https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football

[SportEval @SportEvalAI]

@younweb3 Most LLMs say 2:0

https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football

[SportEval @SportEvalAI]

@Borg_Cryptos Most llms say 2:0
https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football

[SportEval @SportEvalAI]

@Prince_of_web3 2:0 or 3:0?
https://t.co/ZppJ4KOtfH

[SportEval @SportEvalAI]

#sporteval #football🔥 Four matches on tomorrow's card — and each one tells a different story.

Full model reasoning & score analysis 👉 https://t.co/E5jSjiaIjJ

🇬🇭 Ghana vs 🇵🇦 Panama

Total agreement. All nine see a 1-1 draw — same scoreline top to bottom, no exceptions.

🏴󠁧󠁢󠁥󠁮󠁧󠁿 England vs 🇭🇷 Croatia

The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.

🇺🇿 Uzbekistan vs 🇨🇴 Colombia

Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) — and GPT breaks ranks entirely, calling a 1-1 draw.

🇵🇹 Portugal vs 🇨🇩 Congo DR

Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.

So whose read holds up? 👉 https://t.co/E5jSjiaIjJ
#sporteval #football